Ata uhi

Explainable Artificial Intelligence

This open access five-volume set constitutes the refereed proceedings of the Second World Conference on Explainable Artificial Intelligence, xAI 2025, held in Istanbul, Turkey, during July 2025. The 96 revised full papers presented in these proceedings were carefully reviewed and selected from 224 s...

Whakaahuatanga katoa

I tiakina i:
Hōputu: Online
Reo:Ingarihi
I whakaputaina: Springer Nature 2025
Ngā marau:
Open Access
eXplainable Artificial Intelligence
Artificial Intelligence
Machine learning
Interpretable machine learning
Causal inference & explanations
Ante-hoc approaches for interpretability
Argumentative-based approaches for explanations
Auto-encoders & explainability of latent spaces
Black-boxes vs white-boxes
Case-based explanations for AI systems
Decomposition of neural network-based models for XAI
Graph neural networks for explainability
Interpreting & explaining Convolutional Neural Networks
Interpretable representational learning
Model-specific vs model-agnostic methods for XAI
Neuro-symbolic reasoning for XAI
Natural language processing for explanations
Pruning methods with XAI
Post-hoc methods for explainability
thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence
thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQL Natural language and machine translation
thema EDItEUR::U Computing and Information Technology::UX Applied computing
thema EDItEUR::U Computing and Information Technology::UK Computer hardware::UKN Network hardware
Urunga tuihono:ONIX_20251128T131701_9783032083302_23
Ngā Tūtohu: Tāpirihia he Tūtohu
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
Whakarāpopototanga:This open access five-volume set constitutes the refereed proceedings of the Second World Conference on Explainable Artificial Intelligence, xAI 2025, held in Istanbul, Turkey, during July 2025. The 96 revised full papers presented in these proceedings were carefully reviewed and selected from 224 submissions. The papers are organized in the following topical sections: Volume I: Concept-based Explainable AI; human-centered Explainability; explainability, privacy, and fairness in trustworthy AI; and XAI in healthcare. Volume II: Rule-based XAI systems & actionable explainable AI; features importance-based XAI; novel post-hoc & ante-hoc XAI approaches; and XAI for scientific discovery. Volume III: Generative AI meets explainable AI; Intrinsically interpretable explainable AI; benchmarking and XAI evaluation measures; and XAI for representational alignment. Volume IV: XAI in computer vision; counterfactuals in XAI; explainable sequential decision making; and explainable AI in finance & legal frameworks for XAI technologies. Volume V: Applications of XAI; human-centered XAI & argumentation; explainable and interactive hybrid decision making; and uncertainty in explainable AI.

Ngā tūemi rite